Published January 10, 2020 | Version 2.0
Dataset Open

Metal Additive Manufacturing Open Repository

Description

Metal Additive Manufacturing Open Repository

This dataset gathers data from different parts of Additive manufacturing processes (Laser metal deposition - LMD, and Wire-arc additive manufacturing - WAAM). The dataset covers not only the process data, but also the design, NDT (Non-Destructive Testing) and dimensional inspection.


Motivation

The industrialisation of Additive Manufacturing (AM) requires a holistic data management and integrated automation. The presented dataset is part of an end-to-end Digital Manufacturing solution, enabling a cybersecured bidirectional dataflow for a seamless integration across the entire AM chain.

The goal is to develop a new manufacturing methodology capable of ensuring the manufacturability, reliability and quality of a target metal component from initial product design via Direct Energy Deposition (DED) technologies, implementing a zero-defect manufacturing approach ensuring robustness, stability and repeatibility of the process.

To that end, we present the Metal Additive Manufacturing Open Dataset, the first holistic dataset for AM manufacturing, covering all engineering stages from desing to validation. We hope that this dataset will be the first step for the development of new data pipelines aimed to optimize and improve the AM processes and to speed up their digital transformation.


Authors

  • Carlos Gonzalez-Val: Main contact (carlos.gonzalez@aimen.es)
  • Baltasar Lodeiro
  • Marcos Diez

 

Entities

This dataset was collected under the INTEGRADDE project. Attributions:

  • AIMEN: Process data collection and manufacturing of T-Coupons, CC-Coupons-AIMEN and Jet Engine.
  • MX3D: Process data collection and manufacturing of CC-Coupons-MX3D and Plates.
  • University of West: Process data collection and manufacturing of CC-Coupons-WEST.
  • IREPA: Process data collection and manufacturing of CC-Coupons-IREPA.
  • CEA: Tomography analysis.
  • DATAPIXEL: Dimensional inspection.


Structure

The dataset follows this structure:

  • Dataset
    • [SAMPLE 1 NAME]
      • README: metadata and information about the sample. Format: txt.
      • Photo: a photo of the manufactured sample. Format: jpg.
      • Design: a 3D design file of the piece before manufacturing (original design). Format: stl.
      • Trajectories: the trajectories followed for the manufacturing. Format: gcode.
      • Process data: data recorded from the process. Format hdf5.
      • Tomography: data from a 3D tomographic reconstruction. Format: raw.
      • Dimensional inspection: A comparison
    • [SAMPLE 2 NAME]
      • ...

Further information and metadata is contained in each stage's subdirectory.

Note that not all the samples contain all the stages.


Software

To open the different files that conform the dataset, we recommend the following Open softwares:

  •  hdf5 -> HDF5 Viewer: https://www.hdfgroup.org/downloads/hdfview/
  •  stl/amf -> Slic3r: https://slic3r.org / OpenJScad: https://openjscad.org/
  •  stp -> ShareCad: https://beta.sharecad.org/
  •  gcode -> Text editor / Slic3r: https://slic3r.org/
  •  raw -> ImageJ: https://imagej.net/

More information on how to open the files of the dataset can be found in the README.

Files

CC-Coupons-AIMEN.zip

Files (35.5 GB)

Name Size Download all
md5:99afdd717f80c43d3b400c95d83c3e74
11.9 GB Preview Download
md5:df707eb950f646912ad6caa7fc2700a8
385.8 MB Preview Download
md5:fc79c60e8d3e6f495fb43383388489b0
12.3 GB Preview Download
md5:892b13ecb71c22d38a409d6da7ae2811
220.6 MB Preview Download
md5:49a4f0c473b5bcde31fbcd55abf7a4eb
6.3 GB Preview Download
md5:78b644a1890c5324f4e4174a63921872
767.4 kB Download
md5:cfa9981cbe9414b7f05a2abf8961231f
4.5 GB Preview Download

Additional details

Funding

European Commission
INTEGRADDE – Intelligent data-driven pipeline for the manufacturing of certified metal parts through Direct Energy Deposition processes 820776
European Commission
MAShES – Multimodal spectrAl control of laSer processing with cognitivE abilities 637081